python-testing

Enforce pytest-based patterns and TDD workflow for Python tests.

4|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/Yog-Sotho/claude-skills --skill python-testing-yog-sotho
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-testing
Source: https://github.com/Yog-Sotho/claude-skills/tree/main/python-testing
Command: npx skills add https://github.com/Yog-Sotho/claude-skills --skill python-testing-yog-sotho

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Python testing patterns using pytest — fixtures, mocking, parametrization, async tests, and TDD methodology. Always activate when the user is writing, fixing, or designing tests; setting up a test suite; asking about coverage; or working with pytest configuration.

Core Features & Use Cases

  • TDD by default: red (failing test) → green (minimal implementation) → refactor.
  • Fixtures, mocking, and parametrization: reusable setups and varied inputs for robust tests.
  • Async testing and test organization: support for async tests and central conftest patterns.

Quick Start

Write a failing test first, implement minimal code to pass, and iterate toward a fully tested Python module.

Frequently Asked Questions about python-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I start writing Python tests using TDD methodology?

Python testing with TDD follows a red-green-refactor cycle: write a failing pytest test first, implement minimal code to pass it, then refactor. This Skill guides you through each phase using pytest patterns to ensure robust test coverage.

What is the best way to set up reusable test fixtures in pytest?

pytest fixtures provide reusable setups for your tests. This Skill helps you structure fixtures using central conftest patterns, allowing multiple tests to share setup logic efficiently while maintaining clean test organization across your suite.

How does parametrization work for running Python tests with different inputs?

Parametrization in pytest allows you to run the same test function against multiple input variations. This Skill provides structured guidance on applying parametrization patterns to achieve comprehensive input coverage without duplicating test code.

Can I test asynchronous Python code with pytest?

Yes, async tests are supported via pytest-asyncio. This Skill provides patterns for writing and organizing asynchronous tests, handling coroutines within your test suite, and configuring pytest to execute async test functions.

Do I need pytest-mock to use mocking in my test suite?

pytest-mock is required for mocking dependencies within your tests. This Skill integrates mocking patterns alongside fixtures and parametrization to isolate components during unit and integration testing, ensuring tests remain deterministic and focused.

How do I configure pytest for CI pipelines and test organization?

Configuring pytest for CI pipelines involves structuring your tests with central conftest patterns and organizing fixtures effectively. This Skill guides you in setting up pytest configurations that maintain test quality and consistency across automated development environments.